Data Scientist
EveryMatrix is seeking a highly skilled Data Scientist with expertise in CRM and customer behaviour analysis to join our CRM Data Science team. You will play a crucial role in analysing customer behaviour on our gambling platforms, providing insights and building features that will drive our business strategies and enhance customer engagement.
- Analyse large datasets to uncover patterns and insights related to customer behavior.
- Develop predictive models to forecast customer activities and trends.
- Collaborate with cross-functional teams to implement data-driven strategies.
- Define and track key performance indicators (KPIs).
- Utilise machine learning techniques to optimize CRM strategies, especially related to automated campaign optimisation.
- Communicate findings and recommendations to stakeholders in a clear and concise manner.
- Master's or PhD degree in a quantitative field. (required)
- Proven experience of large-scale data analysis and hypothesis testing. (required)
- Strong proficiency in statistical analysis and predictive modelling. (required)
- Proficient in Python (pandas, scipy, numpy, scikit-learn) or R (tidyverse / data.table), along with SQL. (required)
- Excellent problem-solving skills and attention to detail. (required)
- Strong communication skills with the ability to present complex data insights to non-technical stakeholders. (required)
- Willingness to take ownership of analytics projects and be the engine driving them from ideation phase till bringing out the product to customers, and beyond. (required)
- Experience working in an analytics role in the gambling industry. (preferred)
- Experience with CRM data analysis and customer segmentation. (preferred)
- Knowledge of tensorflow / pytorch. (nice-to-have)
- Expertise in using data visualization tools such as Google Looker and working with Google's BigQuery. (nice-to-have)
- Experience in design and evaluation of A/B tests. (nice-to-have)
- Familiarity with Bayesian statistics, especially for hypothesis testing. (nice-to-have)
- Good knowledge of Bayesian programming (PyMC3, etc). (nice-to-have)
- Experience with application of optimization theory or reinforcement learning based on automated A/B testing. (nice-to-have)
- 2 additional days of paid leave added each year until your fifth year with us.
- Hybrid work schedule is available after the first three months of employment.
- Monthly meal allowance.
- Gym allowance.
- Private Healthcare.
- Access online learning platforms like Udemy for Business and LinkedIn Learning, and a budget for external training.
- Benefit from two Free Fridays each year, limited to one per quarter.
- Support for New Parents: 52 weeks of maternity leave, with 21 weeks being fully paid.
- 4 weeks of paternity leave, plus the flexibility to work from home full-time until your child is 13 weeks old.
EveryMatrix delivers iGaming software, solutions, content and services for casino, sports betting, payments, and affiliate management to global Tier 1 operators as well as to newer brands. The platform is highly modular, scalable, and compliant, allowing operators to choose the optimal EveryMatrix solution and combine with third-party and in-house technology and capabilities. EveryMatrix empowers clients to unleash bold ideas and deliver outstanding player experiences in regulated markets. The company has more than 1,300 employees across 15 offices in 15 countries and serves 300+ customers worldwide, including the regulated US market. EveryMatrix is a member of the World Lottery Association (WLA) and European Lotteries Association. In September 2023 it became the first iGaming supplier to receive WLA Safer Gambling Certification.